Spline Truncated Estimator in Multiresponse Semiparametric Regression Model for Computer based National Exam in West Nusa Tenggara

9th Annual Basic Science International Conference 2019

自然科学（总论）

Hidayati, Lilik^1 ; Chamidah, Nur^2 ; Nyoman Budiantara, I.^3

Faculty of Sciences and Technology, Airlangga University, Indonesia^1

Department of Mathematics, Faculty of Sciences and Technology, Airlangga University, Indonesia^2

Department of Statistics, Faculty of Math and Science, Sepuluh Nopember Institute of Technology, Indonesia^3

关键词: Correlation tests;    Goodness of fit;    Multiresponse;    Non-parametric regression;    Parametric regression;    Semiparametric regression model;    Sub-interval;    Visual interpretation;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/546/5/052029/pdf
DOI  :  10.1088/1757-899X/546/5/052029

学科分类：自然科学（综合）

来源: IOP

【 摘 要 】

Multiresponse semiparametric regression model is a combination of parametric regression model and nonparametric regression model with response variables more than one and correlate. The estimate used in estimate the parameters is spline truncated. Excess spline truncated is a model that has excellent statistical and visual interpretation and can model data with changing patterns on certain sub-intervals, because spline is a kind of polynomial pieces. The data used in this study is the value of Computer Based National Examination (CBNE) Vocational High School (VHS) in the province of West Nusa Tenggara (NTB) in 2017, each subject tested on CBNE serve as response variables. Based on the significant correlation test results obtained p-value 2 of 0.84 and minimum GCV value of 0.00000323 so it can be concluded that the value of CBNE VHS in NTB province satisfies goodness of fit criterions.